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Comparison · 2 models · Updated Nov 2, 2026

DeepSeek R1 0528 vs GLM-4.7

Too close to call on our weighted score (GLM-4.7 55, DeepSeek R1 0528 53). The right pick depends on what you value most.

  1. DeepSeek

    DeepSeek R1 0528

    Released May 28, 2025

    53/100
    • ECI141.2
    • Price$0.512 / $2.19
    • Context164K
    Full specs Remove DeepSeek R1 0528

  2. Z.ai (Zhipu)

    GLM-4.7

    Released Dec 22, 2025

    55/100
    • ECI143.7
    • Price$0.60 / $2.20
    • Context205K
    Full specs Remove GLM-4.7

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (GLM-4.7 55/100, DeepSeek R1 0528 53/100), so choose by what matters most for your work: GLM-4.7 for raw capability and DeepSeek R1 0528 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGLM-4.7Capabilities Index (ECI): GLM-4.7 143.7 · DeepSeek R1 0528 141.2
  • Lowest priceDeepSeek R1 0528DeepSeek R1 0528 $0.932 · GLM-4.7 $1.00 per 1M tokens (3:1 blend)
  • Longest contextGLM-4.7GLM-4.7 204,800 · DeepSeek R1 0528 163,840 tokens
  • Widest inputsSame inputsDeepSeek R1 0528: Text · GLM-4.7: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightDeepSeek R1 0528GLM-4.7
CapabilityCapabilities Index (ECI)50%6669
Price25%4948
Inputs & features15%3535
Context window10%2832
Overall100%53/10055/100
02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

DeepSeek R1 0528 vs GLM-4.7 specifications side by side
SpecificationDeepSeek R1 0528DeepSeekGLM-4.7Z.ai (Zhipu)
Capability
Capabilities Index (ECI)141.2143.7 (best)
ECI rank#108 of 165#94 of 165 (best)
GPQA DiamondGraduate-level science questions76.3%83.3% (best)
OTIS Mock AIME 2024–2025Competition mathematics66.4%83.3% (best)
SimpleQA VerifiedShort factual questions—32.2%
Price per million tokens
Input$0.512 (best)$0.60
Output$2.19 (best)$2.20
Cached input—$0.11
Blended (3:1)$0.932 (best)$1.00
Long-context rateSame rateSame rate
Price sourceMedian of 16 providersOfficial Z.AI API
Limits
Context window163,840 tokens204,800 tokens (best)
Max output32,768 tokens131,072 tokens (best)
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenMITOpen
API model ID—glm-4.7
API providers1631 (best)
ReleasedMay 28, 2025Dec 22, 2025
Knowledge cutoff—Apr 2025
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • DeepSeek R1 0528$9.50
  • GLM-4.7$10.40
04 — Questions

Which should you choose?

Which is better: DeepSeek R1 0528 or GLM-4.7?

It is close. Our weighted score puts them within 2 points (GLM-4.7 55/100, DeepSeek R1 0528 53/100), so choose by what matters most for your work: GLM-4.7 for raw capability and DeepSeek R1 0528 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, DeepSeek R1 0528 or GLM-4.7?

DeepSeek R1 0528 is cheaper at $0.512 input / $2.19 output per million tokens (median across 16 API providers). GLM-4.7 costs $0.60 input / $2.20 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $0.932 per million tokens for DeepSeek R1 0528 versus $1.00 for GLM-4.7 (1.1× as much).

Which scores higher on benchmarks?

GLM-4.7 scores higher on the Capabilities Index (ECI): GLM-4.7 143.7 (#94 of 165) and DeepSeek R1 0528 141.2 (#108 of 165). The confidence ranges of the top two overlap (141.4–145.8 vs 139.0–142.9), so treat the gap as small. On individual benchmarks: GPQA Diamond — GLM-4.7 83.3%, DeepSeek R1 0528 76.3%; OTIS Mock AIME 2024–2025 — GLM-4.7 83.3%, DeepSeek R1 0528 66.4%.

Which is better for coding?

There are no published SWE-bench Verified results for DeepSeek R1 0528 and GLM-4.7 yet, so there is no like-for-like coding score. On overall capability, GLM-4.7 leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

GLM-4.7 has the largest context window at 204,800 tokens, against 163,840 for DeepSeek R1 0528. Maximum output per response: DeepSeek R1 0528 up to 32,768, GLM-4.7 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

DeepSeek R1 0528 accepts text; GLM-4.7 accepts text. They handle the same number of input types.

Are any of these open source?

Yes, both publish their weights (MIT), so you can self-host them.

Which is newer?

GLM-4.7 is the newest, released Dec 22, 2025. DeepSeek R1 0528 came out May 28, 2025. Knowledge cutoff: GLM-4.7 Apr 2025.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.

05 — Keep comparing

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